[HN Gopher] Averaging is a convenient fiction of neuroscience
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Averaging is a convenient fiction of neuroscience
Author : domofutu
Score : 25 points
Date : 2024-09-23 21:41 UTC (1 hours ago)
(HTM) web link (www.thetransmitter.org)
(TXT) w3m dump (www.thetransmitter.org)
| glial wrote:
| All models are convenient fictions. I heard a neuroscientist once
| describe averaging as a low-pass filter. People know it hides
| high-frequency dynamics. But unless you have a way to interpret
| the high-frequency signal, it looks an awful lot like noise.
| sroussey wrote:
| I think of summaries as the text equivalent of averaging. Some
| high frequency stuff you don't want to loose in that case are
| things like proper names, specific dates, etc. In the face of
| such signal, you don't want to average it out to a "him" and a
| "Monday".
| heyitsguay wrote:
| My grad school research was with an NIH neuroscience lab
| studying low-level sensory processing that offered a
| fascinating perspective on what's really going on there! At
| least for the first few levels above the sense receptors in
| simpler animal models.
|
| To oversimplify, you can interpret gamma-frequency activity as
| chunking up temporal sensory inputs into windows. The specific
| dynamics between excitatory and inhibitory populations in a
| region of the brain create a gating mechanism where only a
| fraction of the most stimulated excitatory neurons are able to
| fire, and therefore pass along a signal downstream, before
| broadly-tuned inhibitory feedback silences the whole population
| and the next gamma cycle begins. Information is transmitted
| deeper into the brain based on the population-level patterns of
| excitatory activity per brief gamma window, rather than being a
| simple rate encoding over longer periods of time.
|
| Again, this is an oversimplification, not entirely correct,
| fails to take other activity into account etc etc, but I'm
| sharing it as an example of an extant model of brain activity
| that not only doesn't average out high-frequency dynamics, but
| explicitly relies on them in a complex nonlinear fashion to
| model neural activity at the population level at high temporal
| frequency in a natural way. And it's not completely abstract,
| you can relate it to observed population firing patterns in,
| e.g., insect olfactory processing, now the we have the hardware
| to make accurate high-frequency population recordings.
| jtrueb wrote:
| It is a low-pass filter in the frequency domain with a roll-off
| that is not smooth. I quite like [1] as a quick reference.
|
| https://www.analog.com/media/en/technical-documentation/dsp-...
| UniverseHacker wrote:
| I've become increasingly convinced that the idea of averaging is
| one of the biggest obstacles to understanding things... it
| contains the insidious trap of feeling/sounding "rigorous" and
| "quantitative" while making huge assumptions that are extremely
| inappropriate for most real world situations.
|
| Once I started noticing this I can't stop seeing this almost
| everywhere- almost every news article, scientific paper, etc.
| will make clearly inappropriate inferences about a phenomenon
| based on the exact same mistake of confusing the average for a
| complete description of a distribution, or a more nuanced
| context.
|
| Just a simple common example, is the popular myth that ancient
| people died of old age in their 30s, based on an "average life
| span of ~33 years" or such. In reality the modal life expectancy
| of adults (most common age of death other than 0) has been pretty
| stable in the 70s-80s range for most of human history- the low
| average was almost entirely due to infant mortality.
|
| The above example is a case where thinking in terms of averages
| causes you to grossly misunderstand simple things, in a way that
| would be impossible even with basic common sense in a person that
| had never encountered the idea of math... yet it is a mistake you
| can reliably expect people in modern times to make.
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